Research Assistant in Machine Learning and Multimodal Digital Biomarkers

Euraxess; Malmö kommun; On-site; SEK 279,000 - 390,600; Part time

Job summary

Malmö University is seeking a part-time Research Assistant for machine learning and multimodal digital biomarkers. The successful candidate will work on a research project evaluating physical and mental workload using advanced technologies.

The role emphasizes interdisciplinary collaboration and requires strong programming skills in Python. It involves managing datasets, developing machine learning models, and contributing to scientific publications.

Qualifications

• Completed degree on advanced level or equivalent expertise.
• Ability to fully complete duties of the relevant position.
• Experience working with Python and data analysis tools.

Responsibilities

• Conduct literature reviews on relevant subjects.
• Support the design and implementation of experimental systems.
• Assist in collecting and managing multimodal datasets.
• Contribute to the development of machine learning models.
• Support data preprocessing and exploratory analysis.

Skills

Machine Learning and Data Analytics

Wearable Technologies and Sensor Systems

Signal Processing and Time-Series Analysis

Speech Processing or Voice Analytics

Mobile Application Development

Human-Computer Interaction and User-Centered Design

Strong programming and software development skills

Education

Degree in Computer Science, Data Science, Machine Learning, or related discipline

Tools

Python

Data analysis tools

Job description

Organisation/Company The Faculty of Technology and Society Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 31 Jul 2026 - 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Malmö university is an open, innovative and international university that contributes to societal development thanks to its dedicated and experienced staff. Here, teachers, researchers, and other staff members with diverse skills work together to deliver education and conduct research of the highest quality. All professional categories and roles are important. We welcome you to apply for a job with us!

Malmö University is a workplace and an educational institution that strives for an open and inclusive approach, where gender equality and equal opportunities add value to our operations.

Here you can read more about what it’s like to work at Malmö University: Work with us.

Research Assistant in Machine Learning and Multimodal Digital Biomarkers with a focus on voice biomarkers, wearable sensing technologies, and performance monitoring, at the Department of computer science and Media technology, Faculty of Technology and Society.

Subject area

The Research Assistant is to support a research project developing a machine learning-driven multimodal performance monitoring framework for assessing physical and mental workload in high-performance training environments.

The project investigates how wearable sensors, IoT technologies, environmental sensing, mobile applications, digital biomarkers, and machine learning can be integrated to enable continuous and objective monitoring of human performance. A particular focus is on voice biomarkers as a non-invasive and scalable approach for assessing stress, fatigue, cognitive workload, recovery, and performance readiness. Voice data will be combined with physiological, movement, environmental, and self-reported measures to enhance workload assessment and performance analytics.

This interdisciplinary position combines machine learning, wearable computing, sensor fusion, signal processing, speech analytics, human-computer interaction, and performance analytics.

• Conduct literature reviews on wearable sensing, digital biomarkers, voice biomarkers, sports analytics, IoT systems, machine learning, and multimodal data fusion.
• Support the design and implementation of experimental systems involving wearable devices, mobile technologies, voice data collection, and environmental sensors.
• Assist in collecting, synchronizing, and managing multimodal datasets including physiological, movement, environmental, voice, and self-reported data.
• Contribute to the development and evaluation of machine learning models for physical and mental workload assessment.
• Support data preprocessing, feature engineering, speech and signal processing, and exploratory analysis of multimodal sensor data.
• Assist in the development of dashboards and mobile-based visualization tools for performance monitoring and feedback.
• Help develop computational frameworks for individualized workload assessment, trend analysis, digital biomarker discovery, and performance profiling.
• Contribute to scientific publications, technical reports, and dissemination activities.

Qualification Requirements

A research assistant must have a completed a degree on advanced level or equivalent expertise.

It is a general qualification requirement for teachers at Malmö University that the candidate is appropriate for and have the ability in general required to fully complete the duties of the relevant position.

Additional qualification requirements for this position are:

• Degree in Computer Science, Data Science, Machine Learning, Embedded Systems, Human-Computer Interaction, Sports Technology, or related discipline.
• Strong programming and software development skills.
• Demonstrated knowledge or practical experience in one or more of the following areas:
  • Machine Learning and Data Analytics
  • Wearable Technologies and Sensor Systems
  • Signal Processing and Time-Series Analysis
  • Speech Processing or Voice Analytics
  • Mobile Application Development
  • Human-Computer Interaction and User-Centered Design
• Experience working with Python and data analysis tools.
• Strong communication and scientific writing skills in English.
• Ability to work independently and collaborate in interdisciplinary teams.
• Applicants must have a valid work permit or legal right to work in Sweden.

The position is campus-based and requires regular on-site presence; it is not a remote position.

Assessment Criteria

Assessment criteria refer to criteria for assessing how well an applicant meets a certain qualification requirement and criteria that have otherwise been deemed significant for the position.

The overall assessment includes proficiency in the specific field relevant to the position.

For this position, the following will also be assessed:

• Experience with physiological signal analysis (e.g., heart rate, HRV, respiration, accelerometry, electrodermal activity).
• Experience with speech analytics, voice processing, or voice-based digital biomarkers.
• Knowledge of multimodal data fusion and sensor integration.
• Experience with machine learning techniques for classification, clustering, anomaly detection, or predictive modeling.
• Familiarity with self-supervised learning, unsupervised learning, and longitudinal data analysis.
• Experience with wearable devices, sports technologies, mobile health platforms, or digital biomarker research.
• Knowledge of privacy-preserving analytics and trustworthy machine learning.
• Previous experience contributing to academic research projects and scientific publications.

Assessment of qualifications will be done based on the adopted job description for the position. An overall assessment of the applicant’s qualifications and expertise based on the qualification requirements and assessment criteria will be made prior to a decision to hire an applicant.

Faculty

The Faculty of Technology and Society conducts education and research with a focus on technology and natural sciences at the two departments of Computer Science and Media Technology and Materials Science and Applied Mathematics. The faculty collaborates with companies and other organizations with the aim of raising the level of expertise, creating new products, developing businesses and giving students an early connection to their future working life. Our research collaborations and employees from a large number of countries give the activities an international character. More information about the faculty can be found here: Link

Department

The Department of Computer Science and Media Technology offers research-linked education at first-cycle, second-cycle and doctoral levels. The department conducts research in computer science, information systems, software engineering and media technology. We are interested in research and education areas such as artificial intelligence, digital media, e-health, internet of things and game development. Link

Sustainable Digitalisation Research Centre

The research centre studies both social and technological aspects to promote sustainable digitalisation. The aim is to contribute to how the opportunities of digitalisation can be used in a sustainable way and to develop knowledge and solutions for how digitalisation can support the development of a more sustainable society. Link

Application Instructions

Apply for the position through Malmö University’s recruitment system by clicking on the “Apply” button. Application documents are to be submitted electronically. Physical documents are only accepted in exceptional cases; contact [e-mail] if you have books or other documents that cannot be submitted electronically.

All qualifications are to be documented so that both quality and scope can be assessed. You are responsible for ensuring that your application is complete in accordance with the job description and application instructions and that it is submitted no later than July 31, 2026. The application is to be written in Swedish, English or one of the other Scandinavian languages. When required, you are responsible for translating the application and any submitted documents.

The application is to include the following:

• Degree certificates and other relevant grades and certificates
• A brief account of merits relevant to the position you are applying for, and how you, as an applicant, believe you can contribute.

Note that the documents submitted or produced for this open position (such as applications, expert reports and minutes) are normally general documents and as such public documents. This means that the documents may (except for documents classified as secret) be requested and read by others.

Terms of Employment

Starts: 15 August 2026
Form of employment: Fixed-term employment for four months.

Scope of the employment: 20 %

Salary: Individual salary setting

Swedish is the primary language at Malmö University, and it is a hope that non-Swedish speaking staff will acquire enough Swedish language skills to allow them to participate in teaching and research and in common and daily work at the department but also as a way to enable them to take on academic leadership positions.

Prior to this recruitment process, the Malmö University has determined which recruitment channels and marketing it will use. We request that no offers be made to provide advertising and recruitment help in connection with this advertisement.

We look forward to receiving your application!